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Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning

Recently, research on data-driven bearing fault diagnosis methods has attracted increasing attention due to the availability of massive condition monitoring data. However, most existing methods still have difficulties in learning representative features from the raw data. In addition, they assume th...

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Detalles Bibliográficos
Autores principales: Xu, Gaowei, Liu, Min, Jiang, Zhuofu, Söffker, Dirk, Shen, Weiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427562/
https://www.ncbi.nlm.nih.gov/pubmed/30832449
http://dx.doi.org/10.3390/s19051088